Six modules that share a single FHIR R4 patient record — so what happens at the front desk, in the consulting room and on WhatsApp is always in sync.
Six connected modules that cover the front desk, the consulting room and the patient.
One record per patient with Indian identifiers built in, and search that finds them by name, phone, MRN or ABHA number.
Schedules, slots and a front desk that follows each visit from booking to check-in to completion.
A doctor's day in one screen: today's queue, the weekly schedule and a structured consultation note.
An always-on assistant that books, reschedules and cancels appointments over WhatsApp, and sends the reminders.
Every WhatsApp conversation with your clinic in one shared inbox, so staff can step in and reply.
Model your organisation as it really is — locations, departments and services — and decide who can do what.
What one outpatient visit looks like when every step is connected.
They message the clinic on WhatsApp in the language they are comfortable with.
The assistant offers real open slots with the right practitioner and confirms.
A reminder goes out ahead of the visit. Cancel, and it is withdrawn automatically.
The front desk marks them arrived, and they appear in the doctor's queue.
Vitals, notes, diagnosis and prescriptions are recorded against the visit.
The visit history is ready for next time, on the same record.
Interoperability isn't a module we sell separately. It is how the data is stored from day one.
Patients, practitioners, organisations, appointments and encounters are stored as HL7 FHIR R4 resources.
A patient's Ayushman Bharat Health Account and PM-JAY identifiers are recorded on their record and searchable.
Practitioners and facilities carry their Healthcare Professionals Registry and Health Facility Registry IDs.
A single GraphQL API over every service, so integrations and new apps build on one consistent contract.
Every request is scoped to one organisation. One clinic can never see another's data.
Staff see and do only what their role allows, down to individual actions.
Conversations, bookings and reminders survive restarts and network failures.
Containerised services on Kubernetes, deployed through reviewed, automated pipelines.
See Ayush Health running with your own workflow. We'll walk you through the front desk, the doctor's day and WhatsApp booking in 30 minutes.
